Jhih-Ying Li
Papers
1
Total Citations
5
H-Index
1
About
Jhih-Ying Li is a robotics researcher whose work centers on autonomous systems, particularly the development of AI-driven navigation for surface vehicles. Their major contributions lie in bridging the gap between small-scale robotic platforms and real-world autonomous maritime operations. Li’s most-cited paper, "Team NCTU: Toward AI-Driving for Autonomous Surface Vehicles -- From Duckietown to RobotX" (2019), demonstrates a scalable approach to autonomous navigation, translating algorithms from the Duckietown educational platform to the competitive RobotX Challenge environment. This work addresses critical tasks such as obstacle avoidance and docking, showcasing practical pathways for deploying AI in maritime robotics. With 5 citations, this paper has influenced subsequent research in autonomous surface vehicle design and multi-platform integration. Li’s achievements include advancing the state of the art in robotic software and hardware systems for transportation and military applications, contributing to a growing body of work that makes autonomous vessels more reliable and efficient. Their research is particularly valuable for students and engineers seeking to understand how to adapt proven algorithms from controlled settings to complex, real-world aquatic environments.
Research Focus
Key Achievements
Top Papers
- 1